
Course objectives:
— Exploring the capabilities of the YOLOv8 neural network and its application for processing moving objects using the UR-3 manipulator.
— Using the MediaPipe neural network to control the UR-3 manipulator
— Development of a pipeline for moving objects
— Conducting research on the possibility of working with YOLOv8 on various devices, including mobile mini PCs, Raspberry Pi, Orange Pi, Jetson Nano.
Materials developed during the course:
— Educational materials and code examples for working with the YOLOv8 neural network
— Research on the work of YOLOv8 on various devices
— Application of the MediaPipe neural network for gesture processing
Subscribe to know more about robotics:
Stepan Burmistrov -
RobotX School of Robotics -
Skoltech-
Skoltech Robotics Laboratory:
Professor Dzmitry Tsetserukou :
Course authors: 👨🏫
— Skoltech graduate student Alexey Fedoseev,
— Professor Dzmitry Tsetserukou (Head of the Skoltech Laboratory of Intelligent Space Robotics),
— Stepan Burmistrov - founder and teacher of the RobotX School of Robotics